Naslov
Topic Modelling of Croatian News During COVID-19 Pandemic

Autori
Bogović, Petar Kristijan ; Meštrović, Ana ; Beliga, Slobodan ; Martinčić-Ipšić, Sanda

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 1044-1051

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
topic modelling ; Latent Dirichelt Allocation ; coherence ; Croatian news ; COVID-19 infodemic

Sažetak
This paper addresses topic modelling in Croatian news articles related to COVID-19 pandemics and corresponding comments. We identify and analyze Croatian online news media’s main topics for the first nine months of pandemics shedding some light on the leading themes covered in news articles and corresponding comments. Topics are derived automatically by training the model and calculating topics’ coherence values. We report the results by listing the top 15 detected words in top 10 detected topics from the content of articles and corresponding comments. Our findings include the analysis of intersected topics and discussion of dissents. Obtained results are the first step toward better information monitoring and hopefully mitigating the infodemics effect in Croatia.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA